Show HN: Logira – eBPF runtime auditing for AI agent runs (github.com)

Logira, a new observe-only Linux CLI tool, has been introduced to enhance runtime auditing of AI agents and automation processes using eBPF (Extended Berkeley Packet Filter). This tool records critical events during execution, including process execution, file activity, and network interactions, allowing developers to audit what actions were taken by AI agents without modifying the tooling they rely on. By storing data in lightweight formats like JSONL and SQLite, Logira facilitates easy post-run review and querying, crucial for tracing potentially risky behaviors. The significance of Logira lies in its ability to provide transparency and accountability in AI automation by tracking actions that may not be captured by the agents themselves. With built-in detection rules for common security concerns—such as unauthorized access to credentials or destructive commands—Logira serves as a powerful forensic tool for developers and security professionals. As AI agents become increasingly integrated into critical systems, the ability to audit their behavior effectively becomes essential for mitigating risks and ensuring compliance with safety protocols.